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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 50887
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    Explanations

    phrases related to the timing and effects of meals, particularly breakfast, in relation to exercise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    meals and eating times

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oneofs
    -0.47
    NewLabel
    -0.45
    ⓧ
    -0.41
     vPvB
    -0.40
     blik
    -0.40
     risorse
    -0.39
    LogFactory
    -0.39
    subpackage
    -0.39
    BASEPATH
    -0.38
    Datuak
    -0.37
    POSITIVE LOGITS
    CompilerServices
    0.44
    WireFormatLite
    0.42
     dinner
    0.41
     immediately
    0.40
     unknownFields
    0.40
    ✭✭
    0.40
    immediately
    0.39
    openConnection
    0.39
     nakalista
    0.39
     refueling
    0.38
    Activations Density 0.020%

    No Known Activations